Multivariate Statistical Quality Control Using R
Authors: Santos-Fernández, Edgar
Free Preview- Introduces R as a viable statistical quality control methodology
- Covers construction of multivariate control charts and indices
- Presents the most important MSQC techniques developed in R language
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- About this book
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The intensive use of automatic data acquisition system and the use of cloud computing for process monitoring have led to an increased occurrence of industrial processes that utilize statistical process control and capability analysis. These analyses are performed almost exclusively with multivariate methodologies. The aim of this Brief is to present the most important MSQC techniques developed in R language. The book is divided into two parts. The first part contains the basic R elements, an introduction to statistical procedures, and the main aspects related to Statistical Quality Control (SQC). The second part covers the construction of multivariate control charts, the calculation of Multivariate Capability Indices.
- Reviews
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The author does a nice job explaining a variety of concepts and clearly demonstrates their use with examples supported by R code and graphics...In summary, I believe that this is a good R text on MSQC methods and how to implement them in R. I would recommend this text to quality, industrial, and process engineers.
Technometrics 65:1 2014
- Table of contents (5 chapters)
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A Small Introduction
Pages 1-15
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Multivariate Control Charts
Pages 17-61
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Multivariate Process Capability Indices (MPCI)
Pages 63-85
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Tools of Support to MSQC
Pages 87-106
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Study Cases
Pages 107-119
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Table of contents (5 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Multivariate Statistical Quality Control Using R
- Authors
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- Edgar Santos-Fernández
- Series Title
- SpringerBriefs in Statistics
- Series Volume
- 14
- Copyright
- 2013
- Publisher
- Springer-Verlag New York
- Copyright Holder
- Springer Science+Business Media New York
- eBook ISBN
- 978-1-4614-5453-3
- DOI
- 10.1007/978-1-4614-5453-3
- Softcover ISBN
- 978-1-4614-5452-6
- Series ISSN
- 2191-544X
- Edition Number
- 1
- Number of Pages
- X, 127
- Number of Illustrations
- 27 b/w illustrations, 28 illustrations in colour
- Topics
